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Afternoon Data Analyst R Programming Jobs in Brampton, ON

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION REQUIREMENTS: Experience * 2+ years of work experience in quantitative analysis. Education/Training

Teranet

Senior Data Analyst

Toronto, ON

Senior Data Analyst Who We Are Teranet is Canada's leader in the delivery and transformation of ... Partner closely with data engineers and data scientists to ensure data pipelines and models align ...

Walmart

(CAN) Manager, Data Analytics (IC)

Mississauga, ON · On-site

CA$91K - CA$126K/yr

Strong experience in Retail (Brick & Mortar and eCommerce) and as a Data Analyst (7+ years) * Strong SQL experience and proficiency with at least one analytics/programming tool (e.g., Python/R

Manulife

Senior Data Analyst

Toronto, ON · Hybrid

As a member of the GWAM Data Engineering team within the Global Wealth and Asset Management division, the Senior Data Analyst role is responsible for working with the Data Management and Delivery ...

Sun Life Financial

Senior Data Analyst

Toronto, ON · Hybrid

A degree in mathematics, statistics, engineering, computer science, economics, or a related discipline, or equivalent practical experience. * 4+ years of experience in data analytics, business ...

Teranet

Senior Data Analyst

Toronto, ON

Bachelor's degree in quantitative fields (E.g., Statistics, Mathematics, Computer Science, Engineering) * 5+ years of experience in data, analytics, or business/data roles * Experience working with ...

Sun Life Financial

Senior Data Analyst

Toronto, ON · Hybrid

A degree in mathematics, statistics, engineering, computer science, economics, or a related discipline, or equivalent practical experience. * 4+ years of experience in data analytics, business ...

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Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Brampton, ON?

The most popular types of Data Analyst R Programming jobs in Brampton, ON are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Brampton, ON?

For Afternoon Data Analyst R Programming jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Brampton, ON look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Brampton, ON are:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Brampton, ON as of July 2026, with employment types broken down into 1% As Needed, 59% Full Time, 32% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Senior Data Analyst - Activations

EQ Bank | Canada's Challenger Bank

Toronto, ON

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 28 days ago

Job description

Join a Challenger
At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions. 
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
What's kept us moving?  The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.
If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity. 
We can't wait to get to know you! 


The Work
 
As a Senior Data Analyst on the Activation, Next Best Action team, you will be instrumental in leveraging data, advanced analytics, and modeling to drive critical business outcomes. You will provide key insights that drive Next Best Action strategies across the customer lifecycle, helping optimize onboarding, activation, engagement, and long-term customer growth for banking products. You will leverage data to personalize customer journeys, improve channel performance and profitability, and support effective credit risk management for our credit card portfolio. This role requires a blend of technical expertise, strategic thinking, and strong communication skills to translate complex data into actionable recommendations across various functional teams.
What You'll Do
  • Leverage diverse datasets to generate actionable insights that support Next Best Action (NBA) strategies, optimize onboarding and activation journeys, and drive business growth.
  • Develop, monitor, and refine NBA strategies across various channels, utilizing advanced analytics, modeling, and statistical testing (e.g., A/B, multi-variate) to optimize profit.
  • Conduct in-depth analyses of onboarding campaigns, and customer journeys, identifying opportunities for revenue growth and cost reduction.
  • Design, develop, and present comprehensive reporting (daily, weekly, monthly, quarterly) and automated dashboards (e.g., Tableau, Looker) to monitor key performance indicators and track financial/operational controls.
  • Collaborate cross-functionally with marketing, product, sales, and media teams to define analytical requirements, implement end-to-end campaign tracking, and deliver customer-focused solutions.
  • Continuously improve and automate data extraction, analysis, and reporting processes to enhance efficiency and accuracy.
  • Translate complex analytical findings into clear, concise, and compelling narratives for both technical and non-technical stakeholders, fostering data-driven decision-making.
What You Bring
  • Minimum of 3-5 years of progressive experience in data analysis, sales and marketing analytics, financial modeling, or data mining, with a strong focus on extracting actionable insights from large datasets.
  • Experience in digital banking, marketing, or credit risk is a significant asset.
  • Post-Secondary education or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science/Engineering, Operations Research, Economics, or Business Administration, coupled with a solid understanding of data analytics principles.
  • Expert in SQL for querying large, complex datasets (BigQuery Standard SQL is a plus).
  • Demonstrated experience with statistical software (e.g., SAS, R, Python) and/or programming/scripting languages.
  • Hands-on experience building and deploying machine learning models for customer segmentation, propensity modeling, and personalization.
  • Hands-on experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics) and media platforms (e.g., Google Marketing Platforms, Facebook)
    Proficiency in developing reports and interactive dashboards using BI tools (e.g., Tableau, Looker).
  • Strong understanding of database structures and schemas.
  • Advanced MS Office skills (Excel, PowerPoint).
  • Exceptional analytical, problem-solving, and critical thinking skills with the ability to synthesize complex information into clear, actionable recommendations.
  • Solid understanding of digital marketing and eCommerce best practices.
  • Proven ability to communicate complex analytical findings and strategic insights effectively, both verbally and in written presentations, to diverse technical and non-technical audiences.
  • Strong organizational skills and attention to detail, ensuring accuracy and quality in all deliverables.
  • Ability to manage multiple complex projects, prioritize effectively, and deliver high-quality results in a dynamic, fast-paced environment.
  • Demonstrated personal accountability and a results-oriented approach.
What we offer [For full-time permanent roles]
 
Competitive discretionary bonus 
Market leading RRSP match program
  Medical, dental, vision, life, and disability benefits
  Employee Share Purchase Plan
Maternity/Parental top-up while you care for your little one
Generous vacation policy and personal days 
  Virtual events to connect with your fellow colleagues
  Professional development and comprehensive Career Development program
  A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience
 
The incumbent will be working hybrid and in office time will be spent working from EQ Bank's additional office space located at 2200-25 Ontario Street, Toronto, ON.


Equity, Diversity & Inclusion

EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. We believe our organization is stronger - and our people thrive - when we honour and celebrate diverse experiences, identities, and perspectives. We're equally committed to supporting your growth, both professionally and personally.

We provide a barrierfree recruitment process and work environment. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application, an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.
EQB Inc. (TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration. 
To learn more, visit eqb.investorroom.com and eqbank.ca.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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